MetNetComp Database [1] / Minimal gene deletions Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : STM_v1_0 [2].
Target metabolite : pa161_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 113: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: STM3646 STM2285 STM3526 STM1290 STM0169 STM4567 STM0861 STM4326 STM0321 STM0517 STM2947 STM3709 STM3068 STM2141 STM1135 STM4183 STM0369 STM1448 STM4484 STM2317 STM3179 STM1480 STM4126 STM3802 STM2196 STM3240 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.219774 (mmol/gDw/h)
  Minimum Production Rate : 0.062728 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.421942
  EX_pi_e : 0.257629
  EX_k_e : 0.039032
  EX_so4_e : 0.026809
  EX_mg2_e : 0.001735
  EX_fe2_e : 0.001611
  EX_ca2_e : 0.001041
  EX_cl_e : 0.001041
  EX_cobalt2_e : 0.000694
  EX_cu2_e : 0.000694
  EX_mn2_e : 0.000694
  EX_mobd_e : 0.000694
  EX_zn2_e : 0.000694

Product: (mmol/gDw/h)
  EX_h2o_e : 25.590800
  EX_co2_e : 19.281086
  EX_h_e : 1.874151
  Auxiliary production reaction : 0.062728
  EX_glyclt_e : 0.010989
  DM_hmfurn_c : 0.000098

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].

References
[1] Tamura, T. MetNetComp: Database for minimal and maximal gene deletion strategies for growth-coupled production of genome-scale metabolic networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, in press.
[2] Norsigian, C. J., Pusarla, N., McConn, J. L., Yurkovich, J. T., Dräger, A., Palsson, B. O., & King, Z. (2020). BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree. Nucleic acids research, 48(D1), D402-D406.
[3] King, Z. A., Dräger, A., Ebrahim, A., Sonnenschein, N., Lewis, N. E., & Palsson, B. O. (2015). Escher: a web application for building, sharing, and embedding data-rich visualizations of biological pathways. PLoS computational biology, 11(8), e1004321.

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Last updated: 27-Sep-2023
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